Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data.

ABSTRACT: We propose, implement, and evaluate a method for nowcasting the daily number of new COVID-19 hospitalizations, at the level of individual US states, based on de-identified, aggregated medical insurance claims data. Our analysis proceeds under a hypothetical scenario in which, during the Delta wave, states only report data on the first day of each month, and on this day, report COVID-19 hospitalization counts for each day in the previous month. In this hypothetical scenario (just as in reality), medical insurance claims data continues to be available daily. At the beginning of each month, we train a regression model, using all data available thus far, to predict hospitalization counts from medical insurance claims. We then use this model to nowcast the (unseen) values of COVID-19 hospitaliz

SUBMITTER: Shen X 

PROVIDER: S-EPMC11841917 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature